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Dec 1, 2016

Helpful (2)

Data Scientist Interview

Anonymous Interview Candidate in New York, NY

No Offer

Positive Experience

Average Interview

Application

I applied online. The process took 2 weeks. I interviewed at Google (New York, NY).

Interview

Asked about brain teasers at the first round. second round asked about non normal distributions and probabilities. The process was fairly fast and relatively non software technical. We did not have an exam on coding.

Interview Questions

Explain a probability distribution that is not normal and how to apply that. 2 Answers

Other Interview Reviews for Google

Data Scientist Interview

Anonymous Interview Candidate

No Offer

Positive Experience

Average Interview

Application

I applied online. The process took 4+ weeks. I interviewed at Google in December 2016.

Interview

Submit resume online, answer a questionnaire with about 20 questions. Then a HR arranged a phone interview and attached a review guide. I followed the guide for reviewing. But during the interview, most of questions are from my keys words in my resume. So understand and prepare explaining everything in your resume.

Interview Questions

1. Why use feature selection? If two predictors are highly correlated, what is the effect on the coefficients in the logistic regression? What are the confidence intervals of the coefficients?2. K- mean and Gaussian mixture model: what is the difference between K-mean and EM?3.How to decided k?4.When using Gaussian mixture model, how do you know it is applicable? (Normal distribution)4.If the labels are known in the clustering project, how to evaluate the performance of the model? In my project, I use adjusted rank index? But I forgot how it is defined. 1 Answer

Data Scientist Interview

Anonymous Interview Candidate

No Offer

Positive Experience

Average Interview

Application

I applied through a recruiter. The process took 2 weeks. I interviewed at Google in November 2017.

Interview

This job is also called quantitative analyst. The are looking for Ph.D. student. The recruiter found me through Linked. After the informal phone interview, she arranged a video interview for me. The video interview asked tech questions.

Data Scientist Interview

Anonymous Interview Candidate

No Offer

Positive Experience

Average Interview

Application

I applied through a recruiter. The process took 4+ weeks. I interviewed at Google.

Interview

Interview ended after first phone interview.Process began with a recruiter contacting me regarding a Data Scientist/QA position. I sent over my CV and received a 20 minute phone call where the recruiter described the position and responsibilities, then asked if I would like to pursue the position. I agreed and completed an online application asking for basic info: location, education, previous employment, and references. I also received an introductory PDF informing me of the Google interview process and some helpful links of "statistics-based things to know" for the interview. Phone interview lasted about 1 hour and consisted of talking about my work in grad school and a bit more details about the position. Then a statistics question was given where I was given a link to a Google Doc to produce code and any other text.

Interview Questions

What are some of the projects you worked on during your PhD? Answer Question

Data Scientist Interview

I applied through a recruiter. The process took 2+ weeks. I interviewed at Google (Mountain View, CA) in November 2017.

Interview

Two online assessment and an onsite interview with five data scientists. You also got a chance to talk with their team leaders about what they are doing and how they think about the future of data science.

Data Scientist Interview

Anonymous Interview Candidate

No Offer

Neutral Experience

Average Interview

Application

I applied through an employee referral. I interviewed at Google.

Interview

Questionnaire regarding past projects and approaches to solving data science problems. A lot of back and forth with recruiter regarding scheduling. This was followed by phone screen with a senior data scientist.